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			<p><b>special Session</b></p>
			<p align='left'>
			<b><font color='#993366'>Special session and organisation</font></b>
			</p>
			<p align='left'><b>1. Intelligent computing in energy saving and pollution 
			reduction in energy-intensive processes</b></p>
			
			<p align='left'>Organiser: Kang Li, Queen's University Belfast</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Energy conservation and pollution 
			reduction have been receiving increased attention over recent 
			years. More efficient use of energy in the energy-intensive 
			processes can reduce the cost for the enterprises, as well 
			as protect our climate and environment. This special session 
			will focus on the latest development and applications of 
			intelligent computing techniques for energy conservation, 
			pollution reduction and related topics. Topics of interest 
			include, but are not limited to:
			</p>
			<ul style="text-align:left">
				<li>Advanced neural network theory and algorithms</li>
				<li>Advanced evolutionary computing theory and algorithms</li>
				<li>Advanced theory and methodology in fuzzy systems and soft computing</li>
				<li>Autonomy-oriented computing and intelligent agents</li>
				<li>Fuzzy, neural, and fuzzy-neuro hybrids</li>
				<li>Application of these techniques in  modelling, control and supervision 
				for energy saving and pollution reduction</li>
				<li>Applications in distributed power generation systems</li>
				<li>Applications in modeling, simulation and control of power networks</li>
			</ul>
			
			<p align='left'><b>2. Energy saving in process industry</b></p>
			<p align='left'>Chair: Dr Marion McAfee, Queen's University Belfast and Sligo IT.</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Process industries such as petrochemical 
			and chemical, refining, water and sewage treatment and food 
			processing are vitally important to our quality of life but 
			currently account for the majority of industrial energy demand. 
			It is important that these industries initiate and sustain actions 
			to reduce energy consumption, which in turn achieves capital 
			and operational cost savings and maximizes profits. This special 
			session will include recent advances and applications on the following 
			areas:
			</p>
			<ul style="text-align:left">
				<li>modeling and control of chemical, food, materials, bio and paper processing</li>
				<li>developments in applying intelligent monitoring, control and diagnostic 
				techniques to reduction of energy consumption and carbon emissions</li>
				<li>the role of modeling and control technology in improving efficiency in 
				existing process industry plants and in the design of new plants</li>
			</ul>
			
			<p align='left'><b>3. Intelligent computing in service robot applications</b></p>
			<p align='left'>Organisers: Weidong Chen, Shanghai Jiaotong University</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Service robots covers a variety of 
			applications. This special session will select papers on 
			various advanced intelligent computing techniques in service 
			robots, including path planning, data fusion, intelligent 
			control, mechatronics, etc.
			</p>
			
			<p align='left'><b>4. Advanced Support Vector Machine algorithms and applications in signal 
			process and pattern recognition</b></p>
			<p align='left'>Organisers: Prof Guangzhou Zhao, Zhejiang University</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Support Vector Machine (SVM) and 
			related kernel methods are currently very active research 
			areas within neural computation and machine learning. It 
			has been successfully applied to numerous applications ranging 
			from face identification, text categorization to engine 
			knock detection bioinformatics and database marketing. The 
			aim of this special session is to present new perspectives 
			and new directions in SVM and the applications in signal 
			process and pattern recognition.
			</p>
			
			<p align='left'><b>5. Advanced motion control techniques for energy saving</b></p>
			<p align='left'>Organisers: Prof Guangzhao Zhao, Zhejiang University</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;A great number of mechatronic applications 
			require advanced motion control techniques, realized by integrating 
			smart control strategies, high precision sensing, and innovative 
			actuators. In the past decade, several trends have been at work to 
			drive the use of complex motor control techniques. The most 
			important trend is the desire for lower energy consumption and 
			the need for higher performance. This special session will provide 
			a great opportunity for researchers active in the field of advanced 
			motion control to discuss current developments and future 
			perspectives on motion control technology. The topics include, 
			but are not limited to:
			</p>
			<ul style="text-align:left">
				<li>High precision actuators and sensors in motion control systems</li>
				<li>High precision positioning in industrial mechatronic systems</li>
				<li>Mass storage control systems</li>
				<li>Haptic and bilateral control systems</li>
				<li>Innovative control strategies in advanced motion control</li>
			</ul>
			
			<p align='left'><b>6. Intelligent networked control</b></p>
			<p align='left'>Organisers: Prof Minrui Fei, Shanghai University</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;In recent years, a great deal of 
			research has focused on Networked Control System (NCS). 
			NCS is now used in many fields such as homeland security, 
			agriculture, energy management, intelligent transportation 
			and traffic engineering, logistics, warehouse management, 
			disaster management, healthcare delivery, military, smart 
			buildings, and manufacturing. It is widely recognized that 
			NCS is a very challenging and promising research field. 
			The session is intended to provide a forum for academic 
			researchers and industrial engineering to present their 
			recent research, and development in NCS. It is hoped that 
			the special session will attract high quality contributions 
			from, but not limited to, the following topics:
			</p>
			<ul style="text-align:left">
				<li>Networked Control Systems</li>
				<li>Intelligent Sensors and Sensor Networks</li>
				<li>Real-Time Embedded Systems</li>
				<li>Industrial Communication Systems</li>
				<li>Autonomous Control</li>
				<li>Distributed Wireless Networks</li>
			</ul>
			
			<p align='left'><b>7. Intelligent modeling, simulation and control in power 
			generation and power networks</b></p>
			<p align='left'>Organisers: Prof T. C. Yang, Unirersity of Sussex</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Over the past several decades, 
			significant changes in computing technology, along with 
			widespread deregulation of electricity industries, have 
			impacted on power plant operations while affording 
			academics and engineers the opportunity to introduce 
			monitoring and plant-wide control schemes which were 
			previously unfeasible. This session aims to present 
			recent approaches to intelligent modeling, simulation 
			and control in power generation and power networks. 
			Researchers from both computational intelligence as 
			well as power generation fields are invited to submit 
			papers. Areas of interest include, but are not limited to:
			</p>
			<ul style="text-align:left">
				<li>Power plant modeling</li>
				<li>Applications of modelling and simulators for control system design</li>
				<li>Distributed intelligent control and multiagent systems for power plants and power systems</li>
				<li>Control systems with identifier and parameter identification</li>
				<li>Modelling and control of supercritical boilers</li>
				<li>Modeling and control of non-conventional energy sources and/or distributed generation</li>
				<li>Advanced instrumentation and control concepts for power plants</li>
				<li>Operator training simulators for power plants and power systems</li>
				<li>Nonlinear control of power plants and power systems</li>
				<li>Control aspects of load management and load modeling</li>
				<li>Power plant monitoring, fault diagnosis and fault accommodation</li>
			</ul>
			
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